{"id":"W2901126407","doi":"10.1029/2018wr023199","title":"Thermal Attenuation and Lag Time in Fractured Rock: Theory and Field Measurements From Joint Heat and Solute Tracer Tests","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Agence Nationale de la Recherche","keywords":"Attenuation; Fracture (geology); Geothermal gradient; Thermal; Mechanics; Geology; Thermal diffusivity; Advection; Heat transfer; TRACER; Aquifer; Matrix (chemical analysis); Materials science; Mineralogy; Geotechnical engineering; Geophysics; Groundwater; Optics; Thermodynamics; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252503,0.00009454248,0.0001135807,0.00006743367,0.0002654364,0.0001078054,0.0000796978,0.00006078886,0.0006511823],"category_scores_gemma":[0.00005394802,0.00006181427,0.000009718507,0.00006139007,0.0002236477,0.0001612302,0.0003733679,0.0001469186,0.0001517016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003660725,"about_ca_system_score_gemma":0.000001685643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241267,"about_ca_topic_score_gemma":0.0006905758,"domain_scores_codex":[0.9985397,0.0003283556,0.0001272027,0.0003011605,0.0004129364,0.0002905818],"domain_scores_gemma":[0.9996522,0.0001279559,0.00001070309,0.0001213359,0.00002175586,0.00006603134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002631862,0.00005799437,0.3120895,0.00001108673,0.00003302556,0.000008508138,0.04768528,0.00001020544,0.5742277,0.000002140569,0.000573944,0.06503746],"study_design_scores_gemma":[0.0007115764,0.000206298,0.9101444,0.00003073451,0.00000730844,0.000001830204,0.000470931,0.0008578676,0.07523425,0.0005029881,0.01168393,0.0001478958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997339,0.0002385896,0.00008877707,0.001170576,0.00001306283,0.0001833823,0.000002172072,0.0000098688,0.0009545388],"genre_scores_gemma":[0.9969836,0.00001433993,0.00003367636,0.0001610511,0.00005165679,0.00001890152,0.000003327049,0.000008193262,0.002725267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5980549,"threshold_uncertainty_score":0.712999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04619268044188551,"score_gpt":0.2922965661802713,"score_spread":0.2461038857383858,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}